Performance Analysis Antares Long Range Technology with Mobile Application Visualization

Knowing the current weather conditions can determine whether the weather can boost productivity in a sector or create obstacles, therefore weather information is very valuable. This paper analyzed Long Range Wide Area Network (LoRaWAN) performance within Antares network and proposed a system model as a means to monitor weather conditions in a mobile application. The designed system is expected to have a high level of Quality of Service (QoS) using parameters such as Received Signal Strength Indicator (RSSI), Signal to Noise Ratio (SNR), and delay. All of the measurement results including QoS parameters displayed on a mobile application called Wever. Wever visualize the information with informative graphs and a live graph for live measurement feature. Wever is able to display and visualize 100^% data accurately which being sent and stored from Antares to Firebase. The performance quality of LoRaWAN Antares is on high performance at 50m distance with RSSI value around - 75.36 dBm for SF 7 and -93.94 dBm for SF 11. The further the distance the greater SF value is needed. SF 11 at 250m distance could transmit 36 out of 40 data in measurement time span. While SF 7 lost about 77.5% data within the time span. Greater SF means greater power consumption and low bit rate. Using an appropriate SF could increase battery life while maintain the system functionality. The SNR value is greater than -18 dB, while Lora could demodulate signal until -20 $\mathbf{dB}$ below the noise floor. Overall delay never hit 0.09 ms means the data transmission is nearly instant and consistent. Wever can match up with the transmission speed, simulating the live graph with every change made from the sensors.